\begin{table}[H] \centering
\newcolumntype{R}{>{\raggedleft\arraybackslash}X}
\newcolumntype{L}{>{\raggedright\arraybackslash}X}
\newcolumntype{C}{>{\centering\arraybackslash}X}

\caption{Change in proxies for winner quality at the threshold}
\label{tab:winner_quality}
{\normalsize
\begin{tabularx}{15cm}{@{}lCCC@{}}

\toprule
{}&{(1)}&{(2)}&{(3)} \tabularnewline
\midrule \addlinespace[\belowrulesep]
Electoral turnover&--1.64&--0.14&--0.30 \tabularnewline \addlinespace[0.12cm]
&(1.95)&(1.89)&(1.93) \tabularnewline \addlinespace[0.12cm]
\midrule Controls&None&Pre-election&Pre and post-election \tabularnewline \addlinespace[0.12cm]
N&2030&2030&2030 \tabularnewline \addlinespace[0.12cm]
\bottomrule \addlinespace[\belowrulesep]

\end{tabularx}
\\ \parbox{15cm}{\footnotesize \emph{Notes}: In this table, we show RD estimates of the change at the threshold in proxies for the quality of the winner of election \emph{t}. In column (1), quality is measured as the change in the vote share of the winner between \emph{t+1} and \emph{t}. In column (2), quality is measured as the residual of a regression of the change in the vote share of the winner on a set of pre-election controls, including decade and region dummies; a dummy indicating OECD membership; the value of our main outcomes in the two years before the election; the number of candidates competing in the election; the left-right score, populism score, and illiberalism score of the winner; and the distance in these ideology measures between the winner and the runner-up. In column (3), quality is measured as the residual of a regression of the change in the vote share of the winner on the set of pre-election controls, as well as our main measures of country performance, measured between years \emph{t+1} and \emph{t+4} after the election conducted at time \emph{t}. All estimates are expressed in percentage points.}
}
\end{table}
